Employee | Full-Time | TBD
Employee | Full-Time | $288K - $342K
Employee | Full-Time | $204K - $240K
Employee | Full-Time | $85k - $100k
Employee | Full-Time | $60k - $65k
Employee | Full-Time | $110k - $220k
Employee | Full-Time | $170k - $200k
Employee | Full-Time | TBD
Employee | Full-Time | $48k - $55k
Employee | Full-Time | $84k - $134k
Employee | Full-Time | $70k - $75k
Employee | Full-Time | TBD
Employee | Full-Time | $77k - $119k
Contract | Full-Time | $68k - $111k
Employee | Full-Time | $65k - $75k
Employee | Full-Time | $86k - $139k
Employee | Full-Time | $135k - $155k
Employee | Full-Time | $75k - $80k
Employee | Full-Time | $24 - $32 / hr
Employee | Full-Time | $71k - $127k
Employee | Full-Time | $89k - $150k
Employee | Full-Time | $54k - $97k
Employee | Full-Time | $75k - $125k
Employee | Full-Time | TBD
Employee | Full-Time | TBD
Employee | Full-Time | $111k - $139k
Employee | Full-Time | $65k - $75k
Employee | Full-Time | $94k - $105k
Employee | Full-Time | $80k
Employee | Full-Time | $95k - $115k
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MIT provides pay ranges representing its good faith estimate of what the Institute reasonably expects to pay for a full time position at the time of posting (part time positions are pro-rated). The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate’s work experience and education/training, internal peer equity, and applicable legal requirements. This pay range represents base pay only and does not include any other benefits or compensation.
The position will oversee a team of instructional staff, course designers, and developers who will build a new curriculum consisting of stackable credentials leading to stackable bachelor’s degrees in science and engineering with computing/AI. The director will serve as the leader within the NEI in developing the overall digital learning strategy alongside faculty and will manage a team that executes this strategy. Responsibilities include overseeing the design and development of pedagogy and helping build universal learning materials for the new program, including online digital content and flipped classroom experiences, assignments, assessments, and co-ops; and leading the design and development for MIT’s Faculty Academy, a type of teach-the-teachers professional development program which will prepare teachers to deliver this new content. We are looking for a candidate who shares our passion for changing education and learning in the age of AI and preparing the future workforce. This position will involve working closely with MIT students, staff, researchers, and faculty as well as the newly created curriculum team.
The director will be responsible for the development and performance management of a team of instructional staff and will lead instructional staff hiring for NEI in collaboration with the senior program manager and faculty director. The director will build a positive work culture through trust and managing team dynamics. The Director will establish project management guidelines ensuring uniform course creation across all subjects. The Director will also be responsible for budgets and creating a uniform onboarding system for training a new team. The director ensures all educational materials developed for the projects meet MIT quality standards. The director will create and maintain strong relationships with departmental instructional staff and faculty across MIT to inform decision-making.
This is a 1-year term appointment. An extension is possible based on performance and funding.
Principal Duties and Responsibilities (Essential Functions):
This position will be required to work on campus to support the building of courses and work collaboratively with each course team and faculty leads.
Supervision Received:
This position reports to the Faculty Director for NEI
Supervision Exercised:
Supervise instructional staff in several subject matter disciplines, as well as a team of teaching assistants, videographers, instructional designers, and education technologists.
Qualifications and Experience:
MINIMUM REQUIRED EDUCATION AND EXPERIENCE:
PhD in engineering, computing, math, social sciences, science or humanities with proven ability and flexibility to adapt to a rapidly changing platform/environment; and an ability to deliver high-quality results while managing multiple priorities. A minimum of 8 years of relevant experience.
PREFERRED EDUCATION AND EXPERIENCE:
Proficiency in evaluating the effectiveness of learning materials and academic assessment. Strong problem-solving / debugging skills and working knowledge or familiarity with statistical software and analytics tools to analyze big data sets. Candidates should have extensive experience in using and working with educational technology, digital teaching and learning in higher education, production of educational content, academic assessment methodologies, and the delivery and management of online and blended educational programs. Experience with teaching and using Artificial Intelligence tools is critical.
Application material should include a cover letter speaking to qualifications; a teaching statement specifying teaching beliefs and practices; a CV listing educational background, publications, talks, and other applicable experiences. Applications will be considered until the position is filled.
Massachusetts Institute of Technology